Warby Parker (WRBY) Shares Outstanding (Entity) (2020 - 2026)
Warby Parker's Shares Outstanding (Entity) was 123.31 million in Q2 2026, up 1.2% from 121.83 million a year earlier and up 0.6% from the prior quarter.
Powered by 
Analysis
Warby Parker (WRBY) Shares Outstanding (Entity) (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Entity) at Warby Parker came in at 122.33 million, up 1.3% from FY2024.
- Shares Outstanding (Entity) has now increased for six consecutive years, with a five-year compound annual growth rate of 17.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Entity) was 120.71 million in FY2024 (+2.4%), 117.85 million in FY2023 (+2.2%), 115.34 million in FY2022 (+0.7%) and 114.55 million in FY2021 (+112.4%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Entity) in data going back to Q3 2020.
- Compared with a year earlier, Shares Outstanding (Entity) has increased for 20 straight quarters, with growth averaging 1.8% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Entity) has ranged between 0.7% (Q4 2022) and 112.4% (Q4 2021) over the last five years.
- Per Business Quant data, WRBY's Shares Outstanding (Entity) in the three quarters before Q2 2026 was 122.6 million (Q1 2026), 122.33 million (Q4 2025) and 122.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 52.47 Bn | 18.46 Bn | 5.39 Bn | 1.48 Bn |
| 2 | Tapestry | 23.05 Bn | 19.01 Bn | 1.56 Bn | 200.40 Mn |
| 3 | Ralph Lauren | 21.35 Bn | 13.45 Bn | 1.44 Bn | 60.10 Mn |
| 4 | Deckers Outdoor | 11.12 Bn | 3.99 Bn | - | - |
| 5 | Lululemon Athletica | 10.25 Bn | 4.50 Bn | 1.46 Bn | 106.57 Mn |
| 6 | Levi Strauss | 7.60 Bn | 4.25 Bn | 979.10 Mn | 385.98 Mn |
| 7 | Gildan Activewear | 6.52 Bn | 5.51 Bn | 459.76 Mn | - |
| 8 | Birkenstock Holding | 5.97 Bn | 4.27 Bn | 493.89 Mn | - |
| 9 | Crocs | 5.64 Bn | 5.06 Bn | 700.71 Mn | 48.10 Mn |
| 10 | Warby Parker | 3.42 Bn | 2.28 Bn | 136.46 Mn | 123.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.31 Mn |
| Mar 31, 2026 | 122.60 Mn |
| Dec 31, 2025 | 122.33 Mn |
| Sep 30, 2025 | 122.04 Mn |
| Jun 30, 2025 | 121.83 Mn |
| Mar 31, 2025 | 121.28 Mn |
| Dec 31, 2024 | 120.71 Mn |
| Sep 30, 2024 | 120.07 Mn |
| Jun 30, 2024 | 119.61 Mn |
| Mar 31, 2024 | 118.48 Mn |
| Dec 31, 2023 | 117.85 Mn |
| Sep 30, 2023 | 117.26 Mn |
| Jun 30, 2023 | 116.54 Mn |
| Mar 31, 2023 | 115.60 Mn |
| Dec 31, 2022 | 115.34 Mn |
| Sep 30, 2022 | 114.86 Mn |
| Jun 30, 2022 | 114.57 Mn |
| Mar 31, 2022 | 113.97 Mn |
| Dec 31, 2021 | 114.55 Mn |
| Sep 30, 2021 | 111.39 Mn |
API Access
Warby Parker Shares Outstanding (Entity) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=WRBY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "WRBY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=WRBY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();